All Issue

2020 Vol.39, Issue 3

Research Article


May 2020. pp. 143-149
Abstract


References
1 

K. J. Piczak, "Environmental sound classification with convolutional neural networks," Proc. IEEE 25th International Workshop on Machine Learning for Signal Processing, 1-6 (2015).

10.1109/MLSP.2015.7324337
2 

Y. Tokozume and T. Harada, "Learning environmental sounds with end-to-end convolutional neural network," Proc. 2017 IEEE ICASSP. 2721-2725 (2017).

10.1109/ICASSP.2017.7952651
3 

V. Boddapati, A. Petef, J. Rasmusson, and L. Lundberg, "Classifying environmental sounds using image recognition networks," Procedia Comput. Sci. 112, 2048-2056 (2017).

10.1016/j.procs.2017.08.250
4 

Y. Su, K. Zhang, J. Wang, and K. Madani, "Environment sound classification using a two-stream CNN based on decision-level fusion," Sensors, 19, 1733 (2019).

10.3390/s1907173330978974PMC6479959
5 

J. Lee, W. Kim, and K. Lee, "Convolutional neural network based traffic sound classification robust to environmental noise" (in Korean), J. Acoust. Soc. Kr. 37, 469-474 (2018).

6 

K. Ko, S. Park, and H. Ko, "Convolutional neural network based amphibian sound classification using covariance and modulogram" (in Korean), J. Acoust. Soc. Kr. 37, 60-65 (2018).

7 

W. Oh, "Audio classification performance of CNN according to audio feature extraction methods" (in Korean), Proc. J. Acoust. Soc. Kr. Supple.2(s) 38, 64 (2019).

8 

J. Salamon, C. Jacoby, and J. P. Bello, "A dataset and taxonomy for urban sound research," Proc. of the 22nd ACM International Conf. on Multimedia, 1041- 1044 (2014).

10.1145/2647868.2655045
9 

J. Salamon and J. P. Bello, "Deep convolutional neural networks and data augmentation for environmental sound classification," IEEE Signal Process. Lett. 24, 279-283 (2017).

10.1109/LSP.2017.2657381
10 

B. McFee, C. Raffel, D. Liang, D. Ellis, M. Mcvicar, E. Battenberg, and O. Nieto, "Librosa: Audio and music signal analysis in python," Proc. 14th Python Sci. Conf. 18-24 (2015).

10.25080/Majora-7b98e3ed-003
11 

D. P. Kingma and J. Ba, "Adam: A method for stochastic optimization," arXiv preprint arXiv:1412.6980 (2014).

12 

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. F. -Fei, "ImageNet large scale visual recognition challenge," Int. J. Computer Vision, 115, 211-252 (2015).

10.1007/s11263-015-0816-y
13 

K. Simonyan and A. Zisseman, "Very deep convolutional networks for large-scale image recognition," arXiv preprint arXiv:1409.1556 (2015).

14 

M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L. C. Chen, "MobileNetV2: Inverted residuals and linear bottlenecks," Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 4510-4520 (2018).

10.1109/CVPR.2018.00474
Information
  • Publisher :The Acoustical Society Of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 39
  • No :3
  • Pages :143-149
  • Received Date :2020. 02. 25
  • Revised Date :2020. 04. 16
  • Accepted Date : 2020. 04. 22